Journal of Neurocytology

, Volume 32, Issue 5–8, pp 551–565 | Cite as

Two synaptic vesicle pools, vesicle recruitment and replenishment of pools at the Drosophila neuromuscular junction

  • Hiroshi Kuromi
  • Yoshi Kidokoro


Drosophila neuromuscular junctions (DNMJs) are malleable and its synaptic strength changes with activities. Mobilization and recruitment of synaptic vesicles (SVs), and replenishment of SV pools in the presynaptic terminal are involved in control of synaptic efficacy. We have studied dynamics of SVs using a fluorescent styryl dye, FM1-43, which is loaded into SVs during endocytosis and released during exocytosis, and identified two SV pools. The exo/endo cycling pool (ECP) is loaded with FM1-43 during low frequency nerve stimulation and releases FM1-43 during exocytosis induced by high K+. The ECP locates close to release sites in the periphery of presynaptic boutons. The reserve pool (RP) is loaded and unloaded only during high frequency stimulation and resides primarily in the center of boutons. The size of ECP closely correlates with the efficacy of synaptic transmission during low frequency neuronal firing. An increase of cAMP facilitates SV movement from RP to ECP. Post-tetanic potentiation (PTP) correlates well with recruitment of SVs from RP. Neither PTP nor post-tetanic recruitment of SVs from RP occurs in memory mutants that have defects in the cAMP/PKA cascade. Cyotochalasin D slows mobilization of SVs from RP, suggesting involvement of actin filaments in SV movement. During repetitive nerve stimulation the ECP is replenished, while RP replenishment occurs after tetanic stimulation in the absence of external Ca2+. Mobilization of internal Ca2+ stores underlies RP replenishment. SV dynamics is involved in synaptic plasticity and DNMJs are suitable for further studies.


Nerve Stimulation Synaptic Vesicle Neuromuscular Junction Styryl High Frequency Stimulation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Kluwer Academic Publishers 2003

Authors and Affiliations

  • Hiroshi Kuromi
    • 1
  • Yoshi Kidokoro
    • 1
  1. 1.Gunma University School of MedicineMaebashiJapan

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